01 — Capabilities
Capability isn't a list of technologies.
It's a dependable way of turning a decision into software your team can rely on — long after the people who built it have moved on to something else.
Delivery competence
Four areas. Narrow, then deep.
We'd rather go deep in a few places than claim to do everything. These are the areas where we can take responsibility for the outcome today.
Web & applications
- Business websites and content structures
- Web applications and customer/partner portals
- Booking, enquiry and self-service flows
- Performance, accessibility and maintenance
Business software & data
- Custom operational software
- ERP/CRM configuration or tailored development
- Inventory, order and billing workflows
- Dashboards, reporting and data processing
Integration & automation
- API integrations between platforms
- Workflow automation and operational alerts
- Data synchronisation and reconciliation
- Unified interfaces for fragmented processes
AI-enabled features
- Document and data processing
- Knowledge retrieval and internal assistants
- AI features inside business applications
- Human-in-the-loop review and controls
How delivery runs
A lifecycle, not a leap of faith.
Every engagement moves through the same six stages. Each one exists to answer a single question before the next begins.
- 01
Qualify & discover
We check fit, then learn how the work happens, who's involved and what matters.
Should we be doing this at all?
- 02
Define & design
Problem definition, solution options, architecture, scope and a clear agreement.
What exactly are we agreeing to?
- 03
Build & review
Implementation with version control, code review and testing at a depth matched to risk.
Would a second reader understand it?
- 04
Test & accept
Quality, accessibility, performance and security checks against agreed acceptance criteria.
Does it meet what we agreed — not what we hoped?
- 05
Launch & hand over
Deployment, documentation and training so your team can operate what we built.
Can your team run this without us?
- 06
Support & improve
Agreed support and maintenance, with changes handled through a clear process.
What changed once real people used it?
Quality is part of the product
We don't call it done until…
Reliability, accessibility, performance and maintainability aren't add-ons. They're how we decide the work is actually finished.
Accessibility
…someone using only a keyboard can finish the task.
We build towards WCAG 2.2 AA — semantic structure, keyboard support, readable contrast and reduced-motion respect.
Performance
…it's fast on a mid-range phone, not just a desktop score.
Sensible performance budgets, optimised assets, and testing on the devices people actually use.
Reliability
…we know how to roll it back.
Testing, code review and monitoring appropriate to the project's risk, with documented deployment and rollback.
Maintainability
…the next person isn't guessing.
Clear structure, a single source of design tokens, and documentation so knowledge isn't trapped in one head.
Technology
Tools chosen to fit the problem.
We're comfortable across the modern web and business-software stack, and we choose tools for the job — not to collect logos.
- Web
- Next.js, TypeScript, React, Tailwind CSS
- Back end & data
- Node, SQL/relational databases, REST and typed APIs
- Integration
- Platform APIs, webhooks, scheduled jobs and automation
- Delivery
- Version control, code review, CI/CD and monitoring
We evaluate editing, accessibility, SEO, deployment, security and maintainability before committing to a stack — not the reverse.
Ownership, security & your data
Built so trust isn't the only safeguard.
Good architecture and clear agreements protect your investment — so the work, the credentials and the data stay yours.
You own the work
Ownership of code, designs, documentation and deliverables is agreed in writing before work starts.
Company-controlled assets
Source control, infrastructure and production credentials sit in accounts you control, with least-privilege access and reviews.
Data treated as entrusted
Access, retention, backups and responsibilities are defined before we handle anything sensitive.
On AI, plainly
We use AI where it earns its place — not as a label on ordinary work.
When we do use it, we’re explicit about its limits, how data is handled, where a person stays accountable, and what it costs to run.
A considered next step
Have a problem that needs building?
Tell us what you're trying to improve. We'll tell you honestly whether it's something we can deliver well — and what a sensible first step looks like.